CAJ | 학술논문

为了缩短激光加工时间,提高加工效率,提出了一种新的局部搜索法与遗传算法相结合的激光切割路径优化算法.该算法从加工轮廓中提取节点,通过局部搜索法对节点进行局部路径优化,再运用的遗传算法求得近似最优解,遗传算法中的选择算子改进为基于相对适应度的轮盘赌选择算子.详细介绍了算法的原理及实现,通过编程仿真证明该算法与传统的遗传算法相比具有良好的优化效果,可明显缩短加工路径,减少加工时间,提高加工效率.
위료축단격광가공시간,제고가공효솔,제출료일충신적국부수색법여유전산법상결합적격광절할로경우화산법.해산법종가공륜곽중제취절점,통과국부수색법대절점진행국부로경우화,재운용적유전산법구득근사최우해,유전산법중적선택산자개진위기우상대괄응도적륜반도선택산자.상세개소료산법적원리급실현,통과편정방진증명해산법여전통적유전산법상비구유량호적우화효과,가명현축단가공로경,감소가공시간,제고가공효솔.
To reduce the process time and improve the efficiency of laser cutting,a new combination algorithm of local search method and genetic algorithm for laser cutting path is proposed.Through local search method,the nodes extracted from the contour tool path have been optimized.Then the genetic algorithm has been used to achieve approximate optimal solution.The selection operator of genetic algorithm has been improved to be roulette operator based on relative fitness.The principle and implementation of algorithm is introduced in detail.Through simulation, the algorithm has been proved to have good results compared with tradi-tional genetic algorithm,can significantly shorten the tool path, reduce the process time and improve process efficiency.